Artificial intelligence and machine learning raise legal questions the older playbooks never anticipated, from who owns training data to who answers when a model gets it wrong. Our attorneys have engineering backgrounds and understand how these systems are actually built and deployed, which lets us advise on AI data rights, IP, liability, and regulation with the technical detail these issues demand.
Training Data Rights
The data you train on can be your biggest asset or your biggest liability, and often it is both. We structure agreements for acquiring and using training data, addressing ownership, licensing scope, privacy and consent, and permitted versus prohibited uses, and we help you document provenance so you can show where your data came from if a regulator, a counterparty, or a court ever asks.
Protecting AI Intellectual Property
AI systems blend code, model architecture, weights, and data in ways that strain traditional IP categories. We advise on protecting these assets, weighing patent eligibility for AI-related inventions against trade secret protection for models and pipelines, and we work through the thorny copyright questions around training inputs and machine-generated outputs so your protection strategy fits how your technology actually works.
AI Liability And Risk
When an AI system makes a decision that causes harm, the question of who is responsible is rarely simple. We assess your liability exposure across the development and deployment chain and build practical risk management, including testing and validation records, human-oversight and disclosure practices, contractual allocation with vendors and customers, and insurance, so the risk is identified and contained rather than discovered after something goes wrong.
AI Regulatory Compliance
AI regulation is arriving quickly and unevenly across jurisdictions, and waiting for it to settle is not a strategy. We track developing requirements, from the EU AI Act to U.S. federal and state measures and sector-specific rules, and advise on compliance with what is already in force, so you can design transparency, documentation, and governance into your systems now instead of retrofitting under deadline later.